diff test-data/get_params02.tabular @ 0:000a3868885b draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/get_params02.tabular	Fri Aug 09 07:17:20 2019 -0400
@@ -0,0 +1,33 @@
+	Parameter	Value
+*	memory	memory: None
+*	steps	"steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
+       with_scaling=True)), ('lassocv', LassoCV(alphas=None, copy_X=True, cv='warn', eps=0.001, fit_intercept=True,
+    max_iter=1000, n_alphas=100, n_jobs=1, normalize=False, positive=False,
+    precompute='auto', random_state=None, selection='cyclic', tol=0.0001,
+    verbose=False))]"
+@	robustscaler	"robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
+       with_scaling=True)"
+@	lassocv	"lassocv: LassoCV(alphas=None, copy_X=True, cv='warn', eps=0.001, fit_intercept=True,
+    max_iter=1000, n_alphas=100, n_jobs=1, normalize=False, positive=False,
+    precompute='auto', random_state=None, selection='cyclic', tol=0.0001,
+    verbose=False)"
+@	robustscaler__copy	robustscaler__copy: True
+@	robustscaler__quantile_range	robustscaler__quantile_range: (25.0, 75.0)
+@	robustscaler__with_centering	robustscaler__with_centering: True
+@	robustscaler__with_scaling	robustscaler__with_scaling: True
+@	lassocv__alphas	lassocv__alphas: None
+@	lassocv__copy_X	lassocv__copy_X: True
+@	lassocv__cv	lassocv__cv: 'warn'
+@	lassocv__eps	lassocv__eps: 0.001
+@	lassocv__fit_intercept	lassocv__fit_intercept: True
+@	lassocv__max_iter	lassocv__max_iter: 1000
+@	lassocv__n_alphas	lassocv__n_alphas: 100
+*	lassocv__n_jobs	lassocv__n_jobs: 1
+@	lassocv__normalize	lassocv__normalize: False
+@	lassocv__positive	lassocv__positive: False
+@	lassocv__precompute	lassocv__precompute: 'auto'
+@	lassocv__random_state	lassocv__random_state: None
+@	lassocv__selection	lassocv__selection: 'cyclic'
+@	lassocv__tol	lassocv__tol: 0.0001
+*	lassocv__verbose	lassocv__verbose: False
+	Note:	@, searchable params in searchcv too.